An Enhanced Fractional Open Circuit Voltage MPPT Method for Rapid and Precise MPP Tracking in Standalone Photovoltaic Systems by Muhannad J. Alshareef

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Research on <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <msub> <mi>F</mi> <mrow> <msup> <mi>p</mi> <mn>2</mn> </msup> </mrow> </msub></math></in... by Zhanpeng JIANG, Mingwei SUN, Hai HUANG, Jiang XU, Zhiwei LIU, Rui BAI, Zhou FANG, Jiaxing QU

“…A quadratic extended-domain finely integrated operand scanning (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <msub> <mi>F</mi> <mrow> <msup> <mi>p</mi> <mn>2</mn> </msup> </mrow> </msub> </math></inline-formula>-FIOS) modular multiplication algorithm for bilinear pairs was proposed to address the problem of low efficiency of bilinear pair operations.The algorithm effectively reduced the number of modular reductions in modular multiplication by optimizing the operation process of (AB+CD)mod P under the quadratic expansion domain.Two hardware architectures and their scheduling methods were designed to meet different application requirements.In order to improve the computational efficiency of the algorithm, the TSMC 55 nm process was used to realize the bilinear pairing operation unit.Compared with the existing literature, the designed architecture is superior to similar modular multiplication designs in performance indicators such as the first modular multiplication time, clock frequency and the area-time product, and also has certain advantages in the overall Optimal ate pair implementation.…”
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GuardianML: Anatomy of Privacy-Preserving Machine Learning Techniques and Frameworks by Nges Brian Njungle, Eric Jahns, Zhenqi Wu, Luigi Mastromauro, Milan Stojkov, Michel A. Kinsy

“…As concerns about data privacy grow, algorithms and techniques for achieving robust privacy-preserving machine learning (PPML) have become a pressing technical challenge. …”
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STRATEGY OF DATA INTEGRITY CONTROL FOR SYSTEM WIDE INFORMATION MANAGEMENT CONCEPT by L. E. Rudel'son, S. N. Smorodskiy, A. S. Stepanenko

“…An optimal strategy for the algorithm application has been constructed (by the criterion of computational resource expenses).…”
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Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features by Lianyu Sui, Huan Meng, Jianing Wang, Wei Yang, Lulu Yang, Xudan Chen, Liyong Zhuo, Lihong Xing, Yu Zhang, Jingjing Cui, Xiaoping Yin

“…Abstract Objectives To differentiate novel coronavirus pneumonia (NCP) with influenza A virus (IAV) pulmonary infection based on computed tomography (CT) radiomics features combined with clinical feature. …”
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Efficient Spatial Channel Estimation in Extremely Large Antenna Array Communication Systems: A Subspace Approximated Matrix Completion Approach by Zhiwei Chen, Quanfeng Yao, Yi Zhong, Junliang Ye, Xiaohu Ge

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Improved global convergence results for augmented Lagrangian method with exponential penalty function by Frank Navarro Rojas, Luis G. Ticona Quispe

“…Finally we give optimality and feasibility results for the convex case.…”
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One of the approaches to the organization of the modern educational process by A. G. Savenko, Yu. A. Skudnyakov

“…The mathematical basis of the rotational-hybrid model is set theory using graph models, which compare favorably with other mathematical apparatus in visibility and a matrix form of representation that can be easily processed on a computer. The effectiveness of using the developed rotational-hybrid model and its algorithmic implementation is illustrated with the help of developed teaching-testing electronic teaching tool, introduced into educational process at the Department of Information Systems and Technologies of the Institute of Information Technologies of the Belarusian State University of Informatics and Radioelectronics.…”
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A Hybrid Machine Learning Model for Accurate Autism Diagnosis by Durga Prasad Kavadi, Venkata Rami Reddy Chirra, Palacharla Ravi Kumar, Sai Babu Veesam, Sagar Yeruva, Lalitha Kumari Pappala

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Unified Analysis of Decentralized Gradient Descent: A Contraction Mapping Framework by Erik G. Larsson, Nicolo Michelusi

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Ｒecognition of Instruments’Sounds Based on VMD and PSO by HUANG Ying-lai, ＲEN Tian-li, ZHAO Peng

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Route Generation and Built Environment Behavioral Mechanisms of Generation Z Tourists: A Case Study of Macau by Ying Zhao, Pohsun Wang, Yafeng Lai

“…However, limited research has integrated behavioral drivers with algorithmic travel route optimization, particularly in the context of Generation Z tourists. …”
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A Coverage-Based Cooperative Detection Method for CDUAV: Insights from Prediction Error Pipeline Modeling by Jiong Li, Xianhai Feng, Yangchao He, Lei Shao

“…This framework incorporates the target HPR and the seeker detection FOV models, with an objective function defined for coverage optimization. Finally, inspired by wireless sensor network (WSN) coverage strategies, we implement the starfish optimization algorithm (SFOA) to enhance computational efficiency. …”
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Model-Order Reduction of Multistage Cascaded Models for Digital Predistortion by Raul Criado, Wantao Li, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

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Energy-Efficient UAV Trajectory Design and Velocity Control for Visual Coverage of Terrestrial Regions by Hengchao Li, Riheng Jia, Zhonglong Zheng, Minglu Li

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PV Polaris &#x2013; Automated PV System Orientation Prediction by Ernst Wittmann, Claudia Buerhop-Lutz, Savannah Bennett, Vincent Christlein, Jens Hauch, Christoph J. Brabec, Ian Marius Peters

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DBO-DELM Method for Predicting Rolling Forces in Cold Rolling by LI Xiaoyang, PIAO Chunhui, WANG Xuelei, ZHANG Mingzhi

“…Aiming at the problems of many assumptions, large computational errors and poor generalisation performance of the traditional rolling force prediction model, a cold rolling force prediction model (DBO-DELM) using the dung beetle optimizer algorithm (DBO) to optimise the deep extreme learning machine (DELM) is proposed. …”
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Modeling 5G-NR User Blocking Probability in Conditional Handover-Enabled Heterogeneous Networks by Amiraslan Haghrah, Javad Musevi Niya, Jafar Pourrostam

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Advanced Sensor Integration and AI Architectures for Next-Generation Traffic Navigation by Cosmina-Mihaela Rosca, Adrian Stancu, Ionuț-Adrian Gortoescu

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MetaForecaster: A PSO-Driven Neural Model for Sustainable Industrial Air Quality Management by Marzia Ahmed, Shahrin Islam, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan

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